data engineer ii

State of Oklahoma

<div>Job Posting Title
Data Engineer II
Agency
090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV
Supervisory Organization
IS-Data
Job Posting End Date
Refer to the date listed at the top of this posting, if available. Continuous if date is blank.
Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above.
Estimated Appointment End Date (Continuous if Blank)
Full/Part-Time
Full time
Job Type
Regular
Compensation
Job Description
As a Data Engineer II with OMES you will enjoy:<ul><li>
Generous leave including 15 days of vacation, 15 days of sick leave and 11 paid holidays annually.</li><li>
A comprehensive Benefit Package with a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents.</li></ul>
Job Details<ul><li>
Full-time 40-hour work weeks.</li><li>
Support the Data Services Team with the Information Services Division.</li><li>
Salary is up to $110,000.00 based on education and experience.</li><li>
Position is on-site in Oklahoma City, OK.</li></ul>
Position Summary
We are seeking a skilled and experienced Data Engineer II to join our innovative data services team. As a Data Engineer II within our organization, you will play a critical role in building and maintaining robust data pipelines that enable advanced analytics initiatives and support data-driven decision-making. Leveraging your strong foundation in data modeling, ETL processes, and data warehousing, you will manage complex data engineering projects and demonstrate increased initiative in collaborating with stakeholders at various levels.
Your responsibilities will include designing and implementing scalable data architectures, ensuring the reliable ingestion and processing of large datasets, and optimizing data storage and retrieval for performance and efficiency. Furthermore, you will contribute significantly to the development and maintenance of data platforms and tools that facilitate efficient data analysis and integration.
With a proven track record of advancing data engineering solutions, you will enhance our team's capabilities in managing our data ecosystem. This role offers a fantastic opportunity to impact our data architecture, refine data management practices, and foster innovation within our organization.
Key Responsibilities<ul><li>
Develops data pipelines to replicate and aggregate data in a data warehouse</li><li>
Model data and is responsible for data acquisition and access analysis and design</li><li>
Designs and implements archive, recovery, and load strategies</li><li>
Determines database structural requirements by analyzing client or internal operations, applications, and programming</li><li>
Reviews objectives with clients or internal users and evaluates current systems</li><li>
Coordinates new data development, ensuring consistency and providing for integration with existing warehouse structure</li><li>
Reviews business requests for data and data usage</li><li>
Research data sources for new and better data feeds</li><li>
Assists in continuous improvement efforts in enhancing performance and providing increased functionality</li><li>
Coordinates testing, monitoring, and alerting to ensure data quality</li><li>
Administrates Cloud platform(s)</li><li>
Other duties as assigned</li></ul>
Physical Demands and Work Environment
This position works in a comfortable office setting with a computer and telephone for a large percentage of the workday. This position requires long periods, up to eight hours per day, of sitting and working at a desk. The noise level in the work environment is usually mild. Occasional travel may be required.
Minimum Qualifications
Requirements include 4 years of experience in an information technology field or data management and a two-year degree or certification in computer science, management information systems, data management, or a related field.
Preference will be given to candidates who possess<ul><li>
Knowledge of any data storage systems and techniques</li><li>
Knowledge of any data transformation systems and techniques</li><li>
Experience developing software</li><li>
Ability to produce an accurate, timely and quality product to a customer</li><li>
Experience providing provide excellent customer service to both internal and external clients.</li><li>
Experience developing data pipelines on cloud computing platforms.</li><li>
Experience with cloud data warehouses.</li><li>
Experience analyzing business requirements.</li><li>
Experience designing solutions to a business problem.</li><li>
Experience developing alerts and monitoring for data pipelines</li><li>
Familiarity with ticketing and project management systems</li></ul>
About OMES
The Office of Management and Enterprise Services provides excellent service, expert guidance and continuous improvement in support of our partners&rsquo; goals. We are a highly qualified workforce committed to serve those who serve Oklahomans and make government run in the most efficient, innovative manner possible.
OMES is an Equal Opportunity Employer. Reasonable accommodation to individuals with disabilities may be provided upon request.
Equal Opportunity Employment
The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability.
Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub.
If you are needing any extra assistance or have any questions relating to a job you have applied for, please click the link below and find the agency for which you applied for additional information:
Agency Contact</div>

Data Engineer II

Finaira

<div>
 The Data / ML Engineer II will independently design, build, and maintain data infrastructure and pipelines to support the development, deployment, and scaling of data and machine learning models within the financial sector. This role requires a solid understanding of data engineering principles, proficiency in relevant tools and technologies, and the ability to translate data requirements into effective and efficient data solutions. Experience with data structures within core banking systems and common banking applications is highly desirable.
 
 
 Focus: Manage &amp; Build ML Pipelines, Refine ETL Processes &amp; Mentorship
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Independently design, develop, and maintain ETL processes and data pipelines to ingest, transform, and load data from various sources
 </li>
 <li>
 Implement and optimize data quality checks and validation procedures to ensure data accuracy and consistency across diverse banking data sources
 </li>
 <li>
 Implement and manage the automation of data pipeline execution and monitoring
 </li>
 <li>
 Build and manage data warehouses, data lakes, and other data storage solutions, considering the specific data storage and access patterns of banking systems, while enforcing data security and access control measures, adhering to banking security policies and regulations
 </li>
 <li>
 Develop and implement strategies for deploying data and machine learning models at scale
 </li>
 <li>
 Collaborate with data scientists to independently understand data requirements and model dependencies, including the structure and nuances of data within banking systems
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Experience:
 </li>
 <li>
 3+ years of experience as a Data Engineer or in a similar role
 </li>
 <li>
 Proven experience in building and deploying data pipelines and infrastructure, preferably within the financial services industry
 </li>
 <li>
 Solid experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies
 </li>
 <li>
 Experience with machine learning model deployment and monitoring
 </li>
 <li>
 Strongly preferred: Some knowledge of core banking system data structures (e.g., Temenos)
 </li>
 <li>
 Familiarity with data from common banking applications (e.g., Salesforce, Microsoft Dynamics 365, and various POS systems)
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in at least one programming language (e.g., Python, Scala, Java)
 </li>
 <li>
 Expertise in big data technologies (e.g., Spark, Hadoop, Kafka)
 </li>
 <li>
 Strong knowledge of database systems (SQL and NoSQL)
 </li>
 <li>
 Familiarity with machine learning frameworks
 </li>
 <li>
 Solid understanding of DevOps practices and tools
 </li>
 <li>
 Experience with data warehousing and ETL tools
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong ownership and accountability for assigned work
 </li>
 <li>
 Excellent communication, interpersonal, and conflict resolution skills
 </li>
 <li>
 Effective time management and task prioritization
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently and collaborate with teams within and across functions
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment
 </li>
 <li>
 Strong attention to detail and a commitment to quality
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 
 
 </li>
 </ul>
 
 Finaira
 
 is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Propio LS LLC

<div><div><div>Overland Park, KS &bull; Data Engineering
</div></div><div><div>Job Type
<div>Full-time</div>
</div>Description 
<div></div><div> 
<div>Propio Language Services is transforming communication by developing tools and technologies that make it easier and more efficient for clients to engage with the Limited English Proficiency Population to improve access to healthcare and essential services in social services, education, legal and many others.</div><div> 
The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability to collaborate with cross-functional teams to support data-driven decision-making processes.</div><div></div><div> 
Key Responsibilities:</div><ul><li>
Design, implement, and optimize data pipelines for efficient data processing and analysis.</li><li>
Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and availability.</li><li>
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.</li><li>
Ensure the scalability, reliability, and performance of data systems.</li><li>
Implement and maintain data security and privacy measures.</li><li>
Troubleshoot and resolve data-related issues and anomalies.</li><li>
Continuously improve and document data engineering processes and best practices.</li><li>
Act as a subject matter expert and strategic advisor on data-related initiatives, ensuring alignment with organizational objectives</li><li>
Perform ad hoc data analytics and reporting to meet emergent business requirements.</li><li>
Develop and optimize complex SQL queries and stored procedures for data extraction and modeling.</li><li>
Build custom automated paginated reports using SSRS (SQL Server Reporting Services).</li></ul></div>
Requirements 
<div></div><div> 
<div>Qualifications:</div><ul><li>
Bachelor&rsquo;s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; or equivalent work experience.</li><li>
3+ years of experience in a comparable data engineering role.</li><li>
Proven experience with designing and building scalable data pipelines and ETL processes.</li><li>
Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.</li><li>
Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).</li><li>
Strong programming skills in languages such as Python or Scala.</li><li>
Experience with big data technologies (e.g., Hadoop, Spark).</li><li>
Familiarity with data warehousing solutions (e.g., Databricks).</li><li>
Knowledge of data modeling, data warehousing, and data lake concepts.</li></ul><div></div><div> 
#LI-JS1</div></div></div></div>

The Walt Disney Company

<div>
 
 Disney Entertainment and ESPN Product &amp; Technology
 
 
 
 Technology is at the heart of Disney&rsquo;s past, present, and future. Disney Entertainment and ESPN Product &amp; Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more &ndash; all working to build and advance the technological backbone for Disney&rsquo;s media business globally.
 
 
 The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company&rsquo;s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
 
 
 
 A few reasons why we think you&rsquo;d love working for Disney Entertainment &amp; ESPN Technology
 
 
 
 <ul>
 <li>
 Building the future of Disney&rsquo;s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney&rsquo;s media, advertising, and distribution businesses for years to come.
 </li>
 <li>
 Reach &amp; Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day &ndash; from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
 </li>
 <li>
 Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.
 
 
 </li>
 </ul>
 
 Commerce, Data &amp; Identity
 
 
 
 Commerce, Data &amp; Identity provides the core product management functions for areas crucial to Disney&rsquo;s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment &amp; ESPN, along with their interconnection with other parts of The Walt Disney Company.
 
 
 
 Job Summary
 
 
 
 The Data Engineer II partners with business, analytics and infrastructure teams to design and build data pipelines to measure Subscriber and Commerce Movements and Metrics. Responsibilities include identifying internal/external data sources, build ETLs &amp; automated Data Quality checks.
 
 
 
 Responsibilities And Duties Of The Role
 
 
 
 <ul>
 <li>
 Partner with technical and non-technical colleagues to understand data and reporting requirements.
 </li>
 <li>
 Contribute to the design of table structures and defining ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
 </li>
 <li>
 Develop Data Quality checks, write code, complete programming, write tests, perform testing and debug code.
 </li>
 <li>
 Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
 </li>
 <li>
 Implement database deployments using tools like Schema Change
 </li>
 <li>
 Perform ad hoc analysis as necessary.
 </li>
 <li>
 Perform SQL and ETL tuning as necessary.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of relevant data engineering experience.
 </li>
 <li>
 Good understanding of data modeling principles including Dimensional modeling, data normalization principles.
 </li>
 <li>
 Good understanding of SQL Engines and able to conduct advanced performance tuning.
 </li>
 <li>
 Experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift)
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information.
 </li>
 <li>
 Strong communication skills &ndash; written and verbal presentations.
 </li>
 <li>
 Strong conceptual and analytical reasoning competencies.
 </li>
 <li>
 Comfortable working in a fast-paced and highly collaborative environment.
 </li>
 <li>
 Familiarity with Agile Scrum principles and ceremonies
 </li>
 <li>
 Experience working with Python
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
 </li>
 <li>
 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
 </li>
 <li>
 Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
 
 
 </li>
 </ul>
 
 Required Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in computer science, information systems, or related field or equivalent work experience.
 
 
 </li>
 </ul>
 The hiring range for this position in Santa Monica is $106,900-$143,300 per year, in New York City and Seattle is $112,000-$150,100 per year, and in San Francisco is $117,100-$156,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
</div>

<div>The Data / ML Engineer II will independently design, build, and maintain data infrastructure and pipelines to support the development, deployment, and scaling of data and machine learning models within the financial sector. This role requires a solid understanding of data engineering principles, proficiency in relevant tools and technologies, and the ability to translate data requirements into effective and efficient data solutions. Experience with data structures within core banking systems and common banking applications is highly desirable.
Focus: Manage &amp; Build ML Pipelines, Refine ETL Processes &amp; Mentorship
The difference you will make:<ul><li>Independently design, develop, and maintain ETL processes and data pipelines to ingest, transform, and load data from various sources.
</li><li>Implement and optimize data quality checks and validation procedures to ensure data accuracy and consistency across diverse banking data sources.
</li><li>Implement and manage the automation of data pipeline execution and monitoring.
</li><li>Build and manage data warehouses, data lakes, and other data storage solutions, considering the specific data storage and access patterns of banking systems, while enforcing data security and access control measures, adhering to banking security policies and regulations.
</li><li>Develop and implement strategies for deploying data and machine learning models at scale.
</li><li>Collaborate with data scientists to independently understand data requirements and model dependencies, including the structure and nuances of data within banking systems. 
</li></ul> 
 
Requirements 
What you will bring to the role:<ul><li>Education: Bachelor's degree in Computer Science, Engineering, or a related field.
</li><li>Experience:
</li></ul>o 3+ years of experience as a Data Engineer or in a similar role.
o Proven experience in building and deploying data pipelines and infrastructure, preferably within the financial services industry.
o Solid experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
o Experience with machine learning model deployment and monitoring.
o Strongly preferred: Some knowledge of core banking system data structures (e.g., Temenos).
o Familiarity with data from common banking applications (e.g., Salesforce, Microsoft Dynamics 365, and various POS systems).<ul><li>Technical Skills:
</li></ul>o Proficiency in at least one programming language (e.g., Python, Scala, Java).
o Expertise in big data technologies (e.g., Spark, Hadoop, Kafka).
o Strong knowledge of database systems (SQL and NoSQL).
o Familiarity with machine learning frameworks.
o Solid understanding of DevOps practices and tools.
o Experience with data warehousing and ETL tools.
<ul><li>Soft Skills:
</li></ul>o Strong ownership and accountability for assigned work.
o Excellent communication, interpersonal, and conflict resolution skills.
o Effective time management and task prioritization.
o Analytical thinking and problem-solving skills.
o Ability to work independently and collaborate with teams within and across functions.
o Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
o Adaptability and learning agility in a fast-paced environment.
o Strong attention to detail and a commitment to quality.
o Receptiveness to feedback and continuous improvement mindset.
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Tyndale Company, Inc.

<div>
 The Tyndale Company is seeking a Business Data Engineer II to join our dynamic IT team! The Business Data Engineer Level 2 is a technical escalation point within the organization's data infrastructure framework. This includes performing more complex reporting data analysis, creating customized business reports, implementing the Tyndale Custom Rules Engine changes, and supporting data integrity initiatives. The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned projects, acting as a subject matter expert in one or more areas of expertise. The role also involves designing or developing automated reports and handling more extensive program updates.
 
 
 
 HYBRID/REMOTE:
 
 Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely.
 
 To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).
 
 
 
 <ul>
 <li>
 Note: we are not partnering with any outside agencies for this opportunity.
 
 
 </li>
 </ul>
 
 About Tyndale
 
 
 
 The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform advanced reporting and data analysis to support other Tyndale members.
 </li>
 <li>
 Create and analyze customized business reports for decision-makers as necessary.
 </li>
 <li>
 Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, sales organization operations, and strategic decision-making.
 </li>
 <li>
 Perform debugging procedures on database scripts and reports and resolve conflicts.
 </li>
 <li>
 Develop data set processes and supporting documentation.
 </li>
 <li>
 Monitor the BDE Service Desk triage queue and troubleshoot or respond to incoming data issues or requests according to the defined service level objective (SLO).
 </li>
 <li>
 Assist in the validation of data sets and reporting to ensure accuracy.
 </li>
 <li>
 Identify ways to improve data reliability, efficiency, and quality.
 </li>
 <li>
 Identify, design, and implement scripts/tools to extract, transform, and load data from various sources to the desired output.
 </li>
 <li>
 Assist in all aspects of Software Quality Assurance efforts (test design, test execution, UAT, and training) as needed.
 </li>
 <li>
 Assist in the implementation of IT projects as needed.
 </li>
 <li>
 Serve as a Level I escalation point for technical issues and support Level I engineers.
 </li>
 <li>
 Collaborate with Supervisor/Level III on assigned projects and testing results, providing frequent updates.
 </li>
 <li>
 Act as a subject matter expert in one or more areas of expertise, advising on best practices and delivering tailored solutions.
 </li>
 <li>
 Design or develop automated reports to streamline reporting processes, increasing efficiency and accuracy.
 </li>
 <li>
 Update middle-tier or large-tier programs under the supervision of a Supervisor/Level III, contributing to significant improvements to our data infrastructure.
 </li>
 <li>
 Take responsibility for creating and maintaining report jobs and data synchronization with third-party sources.
 </li>
 <li>
 Maintain backend report job schedules, security, and delivery, ensuring robust, secure, and efficient data operations.
 </li>
 <li>
 Demonstrate strong documentation skills and adhere to Standard Operating Procedures (SOP).
 
 
 </li>
 </ul>
 In addition to the primary accountabilities and job activities, Level II Business Data Engineer will:
 
 
 <ul>
 <li>
 Serve as a Level I escalation point for technical issues and support Level I engineers.
 </li>
 <li>
 Collaborate with Supervisor/Level III to work on assigned projects and testing results, providing frequent updates.
 </li>
 <li>
 Act as a subject matter expert in one or more areas of expertise.
 </li>
 <li>
 Design or develop automated reports to streamline reporting processes.
 </li>
 <li>
 Update middle-tier programs or large-tier programs under the supervision of a Supervisor/Level III.
 </li>
 <li>
 Take responsibility for creating and maintaining report jobs and data synchronization with third-party sources.
 </li>
 <li>
 Maintain backend report job schedules, security, and delivery.
 </li>
 <li>
 Demonstrate strong documentation skills and adhere to Standard Operating Procedures (SOP).
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in computer science, Statistics, Mathematics, Engineering, Economics, or related field..
 </li>
 <li>
 3-5 years of experience in a relevant field, with a proven track record in taking on complex tasks and showing deeper understanding of the field.
 </li>
 <li>
 Strong command of SQL, and authoring SQL queries to Extract, Transform, and Load (ETL) data into a relational database.
 </li>
 <li>
 Experience building and optimizing dashboards in AWS QuickSight or other BI tools.
 </li>
 <li>
 Experience with software development and deployment management tools such as Jira, Confluence, Jenkins, Git, etc.
 </li>
 <li>
 Experience with communication tools: Slack, Skype, Zoom, etc.
 </li>
 <li>
 Experience with Microsoft SSRS preferred.
 </li>
 <li>
 Experience with Talend preferred.
 </li>
 <li>
 Experience with Amazon Redshift preferred.
 </li>
 <li>
 Experience with Amazon Athena preferred.
 </li>
 <li>
 Superb communication and presentation skills, with meticulous attention to detail.
 </li>
 <li>
 Strong time management skills with the ability to balance multiple projects with tight targets and executive visibility.
 </li>
 <li>
 Strong analytic skills related to working with unstructured datasets and can spot trends and anomalies within statistical data.
 </li>
 <li>
 Persistence in the pursuit of accuracy.
 </li>
 <li>
 Ability to interact with end users to assist in troubleshooting and training.
 </li>
 <li>
 Successful history of manipulating, processing, and extracting value from large, disconnected datasets.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Health &amp; Wellness : Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
 </li>
 <li>
 Work-Life Balance : Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
 </li>
 <li>
 Financial Compensation : Competitive salary, 401(k) with matching, and bonus opportunities.
 </li>
 <li>
 Career Growth &amp; Development : Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
 </li>
 <li>
 Culture &amp; Perks : Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.
 
 
 </li>
 </ul>
 
 Qualified candidates are encouraged to apply on our website,
 
 
 www.tyndaleusa.com/careers.
 
 
 
 
 E.O.E
 
</div>

Business Data Engineer II

UIC Alaska

<div>Overview:
<div>
Data Analyst/ Data Engineer II 
Bowhead seeks a Data Analyst/ Data Engineer II to support the AF FIAR contract located at Joint Base Andrews, MD. AF FIAR provides audit and audit system remediation services for beginning-to-end support as it relates to audit remediation, sustainment, and financial statements reporting and analysis.</div><div></div><div> 
The Data Analyst/ Data Engineer II will create and maintain databases or development of data and analytics experience (i.e. creation of data visualizations, data analytic reports, data cleansing scripts and processes or performing technical data analytics).</div>
Responsibilities:
<ul><li>Build and deploy process automation and research and development of Artificial Intelligence/Machine Learning capability</li><li>
Encompass visualization and reporting techniques and toolsets to support the automation of day-to-day financial operations</li><li>
Utilize rapid development techniques which conform with current information technology protocols</li><li>
Monitor and sustain the execution of tools developed and correct any issues identified</li><li>
Analyze and review requests for producing ad-hoc data analytics solutions.
</li><li>Data analytical tool development</li><li>
Deliver all programming scripts and results of execution data
</li><li>Develop and provide training as necessary to ensure that users of data analytic tools and reporting capabilities understand the information.</li><li>
Track and facilitate metrics reporting; support the development of meeting agendas, briefing materials, and meeting minutes; and create desk procedures/standard operating procedures for continuity purposes.
</li><li>Other duties as assigned</li></ul>
Qualifications:
<ul><li>BA/S in a relevant technical field preferred. An additional four (4) years of relevant work experience may be substituted for education requirement.</li><li>
Four (4+) years of relevant technical experience creating/maintaining databases or developing data and analytics experience</li><li>
Creation of data visualizations, data analytic reports, data cleansing scripts and processes or performing technical data analytics</li><li>
Four (4+) years of Experience with Python, SQL, R, Scala, or Visual Basic</li><li>
Strong communication and leadership skills, with proven experience mentoring and leading technical teams.</li></ul><div> 
Nice to have:</div><ul><li>
Familiarity and experience with the Operational AF Financial Data Structure and Operational AF data Dictionary
</li></ul><div>Physical Demands:</div><ul><li>
Must be able to lift up to 25 pounds</li><li>
Must be able to stand and walk for prolonged amounts of time</li><li>
Must be able to twist, bend and squat periodically</li></ul><div>
SECURITY CLEARANCE REQUIREMENTS: Must be able to maintain a security clearance at the Secret level. US Citizenship is a requirement for this contract.</div><div></div><div> 
#LI-JS1</div></div>

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